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Internship Gpu Engineer Jobs (NOW HIRING)

Nvidia

Senior AI Compiler Engineer, MLIR

Seattle, WA · On-site

$139K - $183K/yr

Proficiency in GPU architecture with CUDA or OpenCL programming experience. * A track record of mentoring early career engineers and interns is a bonus With competitive salaries and a generous ...

Nvidia

OR · On-site

$122K - $161K/yr

Proficiency in GPU architecture with CUDA or OpenCL programming experience. * A track record of mentoring early career engineers and interns is a bonus With competitive salaries and a generous ...

Nvidia

OR · On-site

$122K - $161K/yr

GPU kernel authoring and performance analysis using tools such as Nsight Compute. * A track record of success in mentoring early-career engineers and interns is a bonus. * Track record on new ...

Nvidia

OR · On-site

$104K - $143K/yr

More recently, GPU deep learning ignited modern AI - the next era of computing - with the GPU ... A history of mentoring junior engineers and interns is a bonus. Ways to stand out from the crowd:

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How much do internship gpu engineer jobs pay per hour?

As of Jun 16, 2026, the average hourly pay for internship gpu engineer in the United States is $25.42, according to ZipRecruiter salary data. Most workers in this role earn between $20.67 and $28.85 per hour, depending on experience, location, and employer.

What is the difference between Internship Gpu Engineer vs Gpu Engineer?

AspectInternship Gpu EngineerGpu Engineer
CredentialsEnrolled in or recent graduate of relevant degree (Computer Science, Electrical Engineering)Bachelor's or Master's in related field, relevant certifications
Work EnvironmentInternship programs, entry-level projects, mentorshipFull-time, senior projects, independent responsibilities
Industry UsageTraining phase, learning environment, entry-level tasksDesign, develop, optimize GPU hardware/software solutions

In summary, an Internship Gpu Engineer is a temporary, learning-focused role for students or recent graduates, while a Gpu Engineer is a full-time professional responsible for advanced GPU development and implementation.

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What cities are hiring for Internship Gpu Engineer jobs? Cities with the most Internship Gpu Engineer job openings:
What are the most commonly searched types of Gpu Engineer jobs? The most popular types of Gpu Engineer jobs are:
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What job categories do people searching Internship Gpu Engineer jobs look for? The top searched job categories for Internship Gpu Engineer jobs are:
Internship Gpu Engineer jobs near you
Infographic showing various Internship Gpu Engineer job openings in the United States as of June 2026, with employment types broken down into 79% Full Time, and 21% Part Time. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $52,867 per year, or $25.4 per hour.
Senior AI Compiler Engineer, MLIR

Senior AI Compiler Engineer, MLIR

Nvidia

Seattle, WA • On-site

$139K - $183K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

NVIDIA's invention of the GPU 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI - the next era of computing - with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as "the AI computing company".

NVIDIA is hiring a Senior AI Compiler Engineer. GPUs are driving rapid progress in deep learning-from LLMs and generative AI to recommendation, vision, and speech. On this team, you'll build an MLIR-based AI compiler that powers NVIDIA's inference engine end to end, with a focus on performance, fast builds, low memory use, and Ahead-of-Time and Just-in-Time usability across data center and edge.

What you'll be doing:

  • Develop MLIR-based graph representations and optimizations for future GPU architectures.

  • Partner with framework and hardware teams to enable new model patterns and upcoming GPU architectural features.

  • Define APIs and MLIR dialects, conduct performance optimizations and analysis, implement compiler optimizations and kernel generation for neural networks, and contribute to other general software engineering work.

What we need to see:

  • Bachelor's, Master's, or Ph.D. in Computer Science, Computer Engineering, a related field, or equivalent experience.

  • 3+ years of relevant work or research experience in performance analysis and compiler optimizations.

  • Experience with compiler technologies such as MLIR, XLA, and LLVM.

  • Excellent C/C++ and Python programming and software design skills, including debugging, performance analysis, and testing.

  • Ability to work independently, define project goals and scope, and lead your own development efforts.

  • Strong interpersonal skills and the ability to thrive in a fast-moving, dynamic, product-oriented team.

Ways to stand out from the crowd:

  • Understanding of deep learning models, algorithms, and frameworks such as PyTorch and JAX.

  • Experience with GPU kernel generation targeting high performance and fast build times.

  • Proficiency in GPU architecture with CUDA or OpenCL programming experience.

  • A track record of mentoring early career engineers and interns is a bonus

With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 26, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993

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